Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data-Reference-Cited by-同舟云学术

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Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

Published:2023 Issue:2 Volume:46 Page:1981-1997
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Huy Thong Pham,Smarandache Florentin,The Huan Phung,Manh Tuan Tran,Thi Ngan Tran,Duc Thai Vu,Long Giang Nguyen,Hoang Son Le

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v46n2/51648/pdf

Reference26 articles.

1. Clustering ensemble based on sample’s certainty;Ji;Cognitive Computation,2021

2. Co-adjustment learning for co-clustering;Zhang;Cognitive Computation,2021

3. Some novel hybrid forecast methods based on picture fuzzy clustering for weather nowcasting from satellite image sequences;Thong;Applied Intelligence,2017

4. Fuzzy local intensity clustering (FLIC) model for automatic medical image segmentation;Khosravanian;The Visual Computer,2021

5. A picture fuzzy clustering approach for brain tumor segmentation;Kumar,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fake News Detection Based on Multi-view Fuzzy Clustering Algorithm;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Enhancing Wildfire Detection Using Semi-supervised Fuzzy Clustering on Satellite Imagery;Advances in Information and Communication Technology;2023

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